Definition
The Flesch Reading Ease score ranges from 0 (very difficult) to 100 (very easy). It is calculated based on average sentence length and average syllables per word. For email marketing, a score of 60-70 (plain English) is generally recommended.
Score Interpretation
- 90-100: Very easy to read (elementary school level) — suitable for mass-market B2C emails
- 60-70: Plain English (8th-9th grade level) — ideal for most business and marketing emails
- 30-50: College level — appropriate for B2B technical audiences
- 0-30: Graduate level — too complex for most email audiences
Why It Matters
Email is a lean-forward medium. Subscribers scan, they do not study. Lower reading scores correlate with higher engagement, especially on mobile. Most email copy should target a Flesch score of 60 or higher. Most word processors and analytics tools can calculate the score automatically.
Best Practices
- Start with the fundamentals of Email Flesch Reading Score and build from a clear baseline, so later improvements are measurable rather than assumed.
- Keep Email Flesch Reading Score consistent with how the rest of your email programme works, so no single initiative works against another.
- Review how Email Flesch Reading Score is handled in your own data and adjust from what you see, rather than copying what another brand does.
- Test one change at a time and measure the effect before rolling it out more widely.
- Revisit your approach to Email Flesch Reading Score regularly, because audience behaviour and inbox technology keep moving.
- Make sure the basics — relevance, timing, and honesty — are solid before chasing more advanced tactics.
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Related Glossary Terms
A/B Testing
A/B testing in email marketing is the practice of sending two variations of an email to a small sample of your list to determine which version performs better before sending the winner to the remaining subscribers.
Above the Fold in Email
Above the fold in email refers to the content visible to a recipient before they scroll, a critical area for first impressions and primary calls to action.
AI Content Detection
AI content detection refers to the growing ability of email clients, spam filters and consumers to identify machine-generated email copy. It matters for deliverability, trust and engagement in an era of mass-produced AI marketing email.
AI-Generated Content in Email
AI-generated content in email is copy, images, code or subject lines produced by artificial intelligence tools to speed up campaign production and testing.
AIDA Model for Email
The AIDA model (Attention, Interest, Desire, Action) is a classic copywriting framework used to structure email campaigns that guide subscribers from awareness to conversion.
ARPU (Average Revenue Per User)
ARPU (Average Revenue Per User) is a metric that measures the average revenue generated per email subscriber over a specific period, used to evaluate list value and campaign effectiveness.
Frequently Asked Questions
Good practice here means handling Email Flesch Reading Score in a way that is relevant, timely, and honest for your audience. The Flesch Reading Ease score measures how easy your email copy is to read, with higher scores indicating simpler, more accessible content that performs better across diverse audiences. Done well, it improves engagement and builds trust; done poorly, it creates friction that costs you results.
Because it touches the parts of email that drive outcomes: relevance, trust, and delivery. Small improvements compound, while repeated mistakes quietly erode the health of your programme.
The most common problems are treating Email Flesch Reading Score as a one-off task, ignoring what the data says, and copying competitors without testing. All three lead to effort that does not translate into better results.
Compare the metrics it should influence — engagement, conversions, and deliverability — before and after you make changes. Trends over time matter far more than any single send.
It supports the same goal as the rest of your email programme: the right message to the right person at the right time. Aligned with segmentation and automation, it reinforces everything else rather than competing with it.